Internal variability of a coupled Arctic regional climate model
As high-dimensional nonlinear systems, regional climate models are sensitive to small perturbations of their initial state. This permits such a model, starting from almost identical states, to develop different dynamics which are equally valid solutions under the same given boundary conditions. The...
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ftawi:oai:epic.awi.de:51578 2023-05-15T14:24:08+02:00 Internal variability of a coupled Arctic regional climate model Eberhard, Julius 2018-10-16 application/pdf https://epic.awi.de/id/eprint/51578/ https://epic.awi.de/id/eprint/51578/1/BA_Eberhard_2018_Internal_variability_of_a_coupled_Arctic_regional_climate_model.pdf https://hdl.handle.net/10013/epic.cc446f92-33ad-4c9a-acac-e6e04d5005aa https://hdl.handle.net/ unknown https://epic.awi.de/id/eprint/51578/1/BA_Eberhard_2018_Internal_variability_of_a_coupled_Arctic_regional_climate_model.pdf https://hdl.handle.net/ Eberhard, J. orcid:0000-0003-2202-4778 (2018) Internal variability of a coupled Arctic regional climate model Bachelor thesis, hdl:10013/epic.cc446f92-33ad-4c9a-acac-e6e04d5005aa EPIC3 Thesis notRev 2018 ftawi 2021-12-24T15:45:22Z As high-dimensional nonlinear systems, regional climate models are sensitive to small perturbations of their initial state. This permits such a model, starting from almost identical states, to develop different dynamics which are equally valid solutions under the same given boundary conditions. The range of solutions generated by this internal variability (IV) is examined for the coupled Arctic regional climate model HIRHAM–NAOSIM using three ensembles. Analyzing the variables mean sea level pressure, sea ice extent, and sea ice thickness, annual cycles of IV are found. While boundary conditions significantly affect the interannual dynamics, the choice of the model version has a larger influence on the annual cycle and the magnitude of IV. Considerations of selected cases imply that links of particular IV states to spatial characteristics of the physical fields are detectable sometime but mostly inconsistent. Similarly, effects of the recent atmospheric circulation on IV states of the sea ice variables are diverse and often only weak. An assessment of the relative importance of IV compared with the overall variability shows that the IV is generally dominated by the external forcing but, depending on the season and region, occasionally exceeds the externally forced variability. Thesis Arctic Arctic Sea ice Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) Arctic |
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Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) |
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ftawi |
language |
unknown |
description |
As high-dimensional nonlinear systems, regional climate models are sensitive to small perturbations of their initial state. This permits such a model, starting from almost identical states, to develop different dynamics which are equally valid solutions under the same given boundary conditions. The range of solutions generated by this internal variability (IV) is examined for the coupled Arctic regional climate model HIRHAM–NAOSIM using three ensembles. Analyzing the variables mean sea level pressure, sea ice extent, and sea ice thickness, annual cycles of IV are found. While boundary conditions significantly affect the interannual dynamics, the choice of the model version has a larger influence on the annual cycle and the magnitude of IV. Considerations of selected cases imply that links of particular IV states to spatial characteristics of the physical fields are detectable sometime but mostly inconsistent. Similarly, effects of the recent atmospheric circulation on IV states of the sea ice variables are diverse and often only weak. An assessment of the relative importance of IV compared with the overall variability shows that the IV is generally dominated by the external forcing but, depending on the season and region, occasionally exceeds the externally forced variability. |
format |
Thesis |
author |
Eberhard, Julius |
spellingShingle |
Eberhard, Julius Internal variability of a coupled Arctic regional climate model |
author_facet |
Eberhard, Julius |
author_sort |
Eberhard, Julius |
title |
Internal variability of a coupled Arctic regional climate model |
title_short |
Internal variability of a coupled Arctic regional climate model |
title_full |
Internal variability of a coupled Arctic regional climate model |
title_fullStr |
Internal variability of a coupled Arctic regional climate model |
title_full_unstemmed |
Internal variability of a coupled Arctic regional climate model |
title_sort |
internal variability of a coupled arctic regional climate model |
publishDate |
2018 |
url |
https://epic.awi.de/id/eprint/51578/ https://epic.awi.de/id/eprint/51578/1/BA_Eberhard_2018_Internal_variability_of_a_coupled_Arctic_regional_climate_model.pdf https://hdl.handle.net/10013/epic.cc446f92-33ad-4c9a-acac-e6e04d5005aa https://hdl.handle.net/ |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Arctic Sea ice |
genre_facet |
Arctic Arctic Sea ice |
op_source |
EPIC3 |
op_relation |
https://epic.awi.de/id/eprint/51578/1/BA_Eberhard_2018_Internal_variability_of_a_coupled_Arctic_regional_climate_model.pdf https://hdl.handle.net/ Eberhard, J. orcid:0000-0003-2202-4778 (2018) Internal variability of a coupled Arctic regional climate model Bachelor thesis, hdl:10013/epic.cc446f92-33ad-4c9a-acac-e6e04d5005aa |
_version_ |
1766296599195025408 |